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Transformer-based deep learning model for real-time prediction of intraoperative hypotension using dynamic time-series vital signs: A retrospective study.

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Title: Transformer-based deep learning model for real-time prediction of intraoperative hypotension using dynamic time-series vital signs: A retrospective study.
Authors: Zhu, Shouqiang1 (AUTHOR), Shi, Weihai1 (AUTHOR), Qian, Haichuan2 (AUTHOR), Tong, Xiaoqiang2 (AUTHOR), Hu, Rongliang2 (AUTHOR), Bo, Jinhua1 (AUTHOR) bojinhua@njglyy.com, Gu, Xiaoping1 (AUTHOR) xiaopinggu@nju.edu.cn
Source: PLoS Medicine. 3/25/2026, Vol. 23 Issue 3, p1-20. 20p.
Database: Academic Search Ultimate
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192513865
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        Value: 10.1371/journal.pmed.1005024
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        Text: English
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      – TitleFull: Transformer-based deep learning model for real-time prediction of intraoperative hypotension using dynamic time-series vital signs: A retrospective study.
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            NameFull: Zhu, Shouqiang
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            NameFull: Shi, Weihai
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            NameFull: Hu, Rongliang
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              Text: 3/25/2026
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              Y: 2026
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